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Generative Models for Anomaly Detection and Design-Space Dimensionality
  Reduction in Shape Optimization

Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization

8 August 2023
D. D’Agostino
ArXivPDFHTML

Papers citing "Generative Models for Anomaly Detection and Design-Space Dimensionality Reduction in Shape Optimization"

3 / 3 papers shown
Title
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization
A. Serani
Matteo Diez
AI4CE
21
2
0
22 May 2024
Learning Active Subspaces and Discovering Important Features with
  Gaussian Radial Basis Functions Neural Networks
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks
D. D’Agostino
Ilija Ilievski
C. Shoemaker
22
4
0
11 Jul 2023
ShipHullGAN: A generic parametric modeller for ship hull design using
  deep convolutional generative model
ShipHullGAN: A generic parametric modeller for ship hull design using deep convolutional generative model
Shahroz Khan
K. Goucher-Lambert
Konstantino Kostas
P. Kaklis
GAN
36
27
0
29 Apr 2023
1